English Audio Transcription Specialist (Remote, Contractor)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Contributors use OpenTrain to discover projects, build a unified portfolio, and grow a durable freelance career working on the human side of AI.

About AI training work

AI training (data labeling/annotation) is how people teach models to understand language, audio, images and more. Contributors do tasks like transcribing audio, cleaning machine-generated text, tagging entities, and evaluating outputs to improve real-world AI systems.

This work is largely remote, flexible, and a fast-growing way to build technical freelancing experience — a good fit for people with strong language skills and attention to detail.

The role

We are recruiting an English Audio Transcription Specialist to support machine- and human-generated speech data. This contractor role focuses on accurate transcription, transcript cleanup, metadata tagging, and quality control to meet client formatting and quality standards.

This is a part-time contractor position with a minimum expectation of 20+ hours per week, fully remote and open to workers worldwide who meet the language and skill requirements.

What you'll do

• Transcribe English audio files with high accuracy and consistency.
• Review and refine machine-generated transcripts, correcting spelling, grammar, and context errors.
• Add metadata tags and annotations (including entity/NER-style tags) to improve dataset quality.
• Follow strict client formatting guidelines and quality standards for each assignment.
• Collaborate with project teams to clarify requirements and resolve ambiguous audio.
• Handle sensitive or confidential content with professionalism and discretion.
• Maintain organized records of completed work and suggest process improvements when applicable.

Requirements

• Fluent English proficiency with exceptional spelling, grammar, and punctuation.
• Extensive experience transcribing and captioning English audio content.
• Experience annotating and tagging metadata for language datasets, including entity labeling.
• Strong written and verbal communication skills and high attention to detail.
• Excellent time management and ability to meet tight deadlines in a remote environment.
• Comfort working independently while remaining responsive to feedback and updates.

Helpful background

• Prior work with speech-recognition, AI, or machine-learning projects.
• Formal study in linguistics, English, or related language fields.
• Familiarity with transcription tools and web-based or desktop annotation platforms.

Compensation, schedule, and logistics

Pay is hourly at USD 20–30 per hour (project data lists an hourly rate of $30). This is a contractor, part-time role expecting 20+ hours per week; schedules are remote and flexible within project deadlines.

Labeling work covers transcription and entity/NER classification on audio data. The project lists the labeling software as "OTHER," so you may use a range of web-based or desktop tools supplied by the project.

• Employment type: Contractor, Part-time.
• Time requirement: 20+ hours/week.
• Languages: English (required).
• Location: Remote / Worldwide.

How to apply

Create a free OpenTrain account to apply and build your AI training portfolio. Submit your profile, relevant transcription samples or past project descriptions, and availability.

During onboarding you'll receive project guidelines, formatting rules, and any platform-specific training or tests required by the client.